Copyright

Ch 30: TExES Math 4-8: Organizing & Displaying Data

About This Chapter

The engaging lessons in this chapter will allow you to brush up on how various data displays are created and read so that you're ready for related questions on the TExES Math 4-8 exam.

TExES Math 4-8: Organizing & Displaying Data - Chapter Summary

These lessons will help you review how to display and organize data. The videos and text transcripts will prepare you for any questions on the TExES Math 4-8 exam about:

  • Frequency and two-way tables
  • Making and reading stem and leaf displays
  • Histograms and box plots
  • Bar graphs and pie charts
  • Making predictions and arguments from univariate data
  • Marginal, joint and conditional frequencies
  • Making and reading scatterplots
  • Simple linear regression
  • Problem solving with linear regression
  • Interpreting correlations in research results

You can use each video's Timeline feature to easily jump to key points in lessons. Verify your understanding of the material by completing the practice quizzes.

12 Lessons in Chapter 30: TExES Math 4-8: Organizing & Displaying Data
Test your knowledge with a 30-question chapter practice test
Frequency & Relative Frequency Tables: Definition & Examples

1. Frequency & Relative Frequency Tables: Definition & Examples

Frequency and relative frequency tables are a good way to visualize information. This is especially useful for information that is grouped into categories where you are looking for popularity or mode.

Creating & Reading Stem & Leaf Displays

2. Creating & Reading Stem & Leaf Displays

Every once in a while you will come across stem-and-leaf displays in statistics. These displays can be very useful in identifying all of the values in a data set while still visually representing the data.

Creating & Interpreting Histograms: Process & Examples

3. Creating & Interpreting Histograms: Process & Examples

Creating histograms can help you easily identify and interpret data. This lesson will give you several examples to better understand histograms and how to create them.

Creating & Interpreting Box Plots: Process & Examples

4. Creating & Interpreting Box Plots: Process & Examples

Box plots are an essential tool in statistical analysis. This lesson will help you create a box plot and understand its meaning. When you are finished, test your understanding with a short quiz!

Understanding Bar Graphs and Pie Charts

5. Understanding Bar Graphs and Pie Charts

In this lesson, we will examine two of the most widely used types of graphs: bar graphs and pie charts. These two graphs can provide the reader with a comparison of the different data that is displayed.

Making Arguments & Predictions from Univariate Data

6. Making Arguments & Predictions from Univariate Data

Univariate data is used to describe a situation or experiment; however, you can also use the data to make arguments and predictions. This lesson will show you how to use measures of central tendency to make arguments and predictions.

What is Bivariate Data? - Definition & Examples

7. What is Bivariate Data? - Definition & Examples

In this lesson, you will be learning about the definition and uses of bivariate data. We will also compare and contrast the characteristics of univariate data and bivariate data.

What is a Two-Way Table?

8. What is a Two-Way Table?

Do you believe in Martians? Do you watch football on television? A Two-Way Table or Contingency Table is a great way to show the results of all kinds of survey questions. In this video we will learn how to read a two-way table.

Joint, Marginal & Conditional Frequencies: Definitions, Differences & Examples

9. Joint, Marginal & Conditional Frequencies: Definitions, Differences & Examples

Joint, marginal, and conditional frequencies are all part of analyzing categorical data and two-way tables. This lesson will help you learn the definitions and differences between each concept.

Creating & Interpreting Scatterplots: Process & Examples

10. Creating & Interpreting Scatterplots: Process & Examples

Scatterplots are a great visual representation of two sets of data. In this lesson, you will learn how to interpret bivariate data to create scatterplots and understand the relationship between the two variables.

Simple Linear Regression: Definition, Formula & Examples

11. Simple Linear Regression: Definition, Formula & Examples

Simple linear regression is a great way to make observations and interpret data. In this lesson, you will learn to find the regression line of a set of data using a ruler and a graphing calculator.

Problem Solving Using Linear Regression: Steps & Examples

12. Problem Solving Using Linear Regression: Steps & Examples

Linear regression can be a powerful tool for predicting and interpreting information. Learn to use two common formulas for linear regression in this lesson.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

Earning College Credit

Did you know… We have over 200 college courses that prepare you to earn credit by exam that is accepted by over 1,500 colleges and universities. You can test out of the first two years of college and save thousands off your degree. Anyone can earn credit-by-exam regardless of age or education level.

To learn more, visit our Earning Credit Page

Transferring credit to the school of your choice

Not sure what college you want to attend yet? Study.com has thousands of articles about every imaginable degree, area of study and career path that can help you find the school that's right for you.

Support